Health Informatics Basics Foundational Curriculum: Cluster 4: Informatics Module 7: The Informatics Process and Principles of Health Informatics Unit 1: Health Informatics Basics 20/60 Curriculum Developers: Angelique Blake, Rachelle Blake, Pauliina Hulkkonen, Sonja Huotari, Milla Jauhiainen, Johanna Tolonen, and Alpo Vӓrri 1
Unit Objectives Define health informatics Describe the two sub-disciplines of health informatics Identify nine different types of related informatics disciplines used in healthcare and state the various definitions of informatics within the health sector Identify key informatics concepts, models and theories Describe the importance of informatics in active and healthy ageing 2
Health Informatics Informatics is the union of information, people and science/process/technology Health informatics is the interdisciplinary study of the design, development, adoption, and application of information and technology-based innovations in public health and healthcare services delivery, management, and planning Health informatics is often used to describe the full range of application and research topics for which biomedical informatics is the pertinent underlying scientific discipline 3
Health Informatics Subsets Health Informatics is the overarching theme for all informatics used in healthcare. The two main sub-disciplines are: Clinical Informatics Population Health Informatics Other subsets of Health Informatics include: Medical informatics (MI) Public Health informatics Consumer health informatics Nursing informatics (NI) Dental Informatics Nutrition Informatics Pharmacy Informatics Biomedical informatics Translational bioinformatics Computational health informatics (CHI) Clinical research informatics (CRI) Informatics in Active and Healthy Ageing *All informatics definitions in this unit have been developed and validated in conjunction with the HIMSS TIGER Committee and its Informatics Definitions Document 4
Clinical Informatics Clinical informatics* is a subset of health informatics used by clinicians in the application deliver healthcare services It blends information technology into clinical care processes, usually within a health system It is also referred to as applied clinical informatics and operational informatics Clinical informatics includes a wide range of topics ranging from clinical decision support to visual images (e.g., radiological, pathological, dermatological, ophthalmological, etc.); from clinical documentation to provider order entry systems; and from system design to system implementation and adoption issues CLINICAL CARE HEALTH SYSTEM CLINICAL INFORMATICS INFORMATION TECHNOLOGY 5
Public, Consumer and Population Health Informatics Public Health informatics is the systematic application of knowledge about systems that capture, manage, analyze and use information to improve population health Consumer health informatics helps bridge the gap between patients and health resources. It looks at informatics from multiple consumer or patient views. Therefore, Population Health Informatics is the intersection of public health informatics and consumer informatics. It is the systematic study of populations via secondary analysis of massive data collections (called "big data") about people. Population informatics applies data science to social genome data to answer fundamental questions about human society and population It is an emerging research area at the intersection of SBEH (Social, Behavioral, Economic and Health) sciences, computer science, and statistics It involves using quantitative methods and computational tools to answer fundamental questions about populations 6
Medical Informatics In addition to clinical informatics and public health informatics, the following disciplines of informatics are related to healthcare: Medical informatics (MI) is the interdisciplinary study of the design, development, adoption and application of IT-based innovations in healthcare services delivery, management and planning It can also be described as the field of information science concerned with the analysis, use and dissemination of medical data and information through the application of computers to various aspects of health care and medicine. Medical informatics is also frequently used to describe the informatics field in which physicians specialize 7
Nursing Informatics Nursing informatics (NI) is the specialty that integrates nursing science with multiple information management and analytical sciences to identify, define, manage, and communicate data, information, knowledge, and wisdom in nursing practice NI supports nurses, consumers, patients, the interprofessional healthcare team, and other stakeholders in their decision-making in all roles and settings to achieve desired outcomes. This support is accomplished through the use of information structures, information processes, and information technology 8
Dental informatics is the application of computer and information science to improve dental practice, research, education and management. The field of dental informatics is concerned with the intersection of health informatics and dentistry as a whole Nutrition informatics is the effective retrieval, organization, storage and optimum use of information, data and knowledge for food and nutrition-related problem solving and decision-making Pharmacy informatics the scientific field that focuses on medication-related data and knowledge within the continuum of healthcare systems - including its acquisition, storage, analysis, use and dissemination - in the delivery of optimal medication-related patient care and health outcomes Dental, Nutrition and Pharmacy Informatics 9
Biomedical and Translational Informatics Biomedicine is medicine based on the application of the principles of the natural sciences, especially biology and biochemistry Biomedical informatics is the interdisciplinary field that studies and pursues the effective uses of biomedical (relating to biomedicine) data, information, and knowledge for scientific inquiry, problem solving, and decision-making, driven by efforts to improve human health Bioinformatics: is used to develop tools and methods (usually software) for understanding biological data is related to research in molecular biology can include fields from signal processing to biology, combining statistical and mathematical techniques to compute results Translational bioinformatics includes research on the development of novel techniques for the integration of biological and clinical data and the evolution of clinical informatics methodology to encompass biological observations 10
Computational Health Informatics Computational health informatics (CHI) specifically integrates computer science techniques that are relevant in healthcare. Healthcare provides an extremely wide variety of problems that can be tackled using computational techniques. Informaticists in this area study the underlying principles of computer science that allow for medically related algorithms and systems to be developed. This subspecialty of health informatics frequently analyse big data. It involves health and computer scientists working in unison to develop the next generation of healthcare technologies through computational informatics 11
Clinical Research Informatics Clinical research informatics (CRI) is an amalgamation of clinical and research informatics, plays an important role in clinical research, patient care, and the building of healthcare system. It is one of the rapidly growing subdivisions of biomedical informatics. It plays an important role in developing new informatics theories, tools and solutions. Clinical research informatics applies the core foundations, principles, and technologies of health informatics to clinical research 12
Health Informatics Visualized 13
Informatics Concepts Information Architecture (IA) is the structural design of shared information environments. It is a crucial component in the development of healthcare technology systems, applications and interfaces. Informaticists play a part in helping to structure the underlying information and its presentation in a logical and intuitive way so that people can put information to use. They build frameworks to effectively collect, store and deliver information, and drive the navigation, content layout, personalization, and transactional features of the systems and technology. health data Information Architecture end users 14
Informatics Concepts (cont d) Human Computer Interaction (commonly referred to as HCI) researches the design and use of computer technology, focused on the interfaces between people (users) and computers. Health informaticists use HCI to both observe the ways in which humans interact with computers and technology in the healthcare setting, and design technologies that let humans interact more effectively for healthcare in novel ways 15
Informatics Concepts (cont d) Information Assurance and Cybersecurity is the practice of creating and managing safe and secure systems. It is crucial for healthcare organizations public and private, large and small. Informaticists use this component to build, integrate and maintain individual and organizational privacy and security in the creation, deployment, use, and management of health information, systems and technology 16
Key Models in Health Informatics There are several key models in health informatics that approach how to effectively integrate technology systems and people These include: Technology Acceptance Model Disruptive Innovation Diffusion of Innovation Sociotechnical Theory Model 17
Key Models in Health Informatics (Cont d) Technology Acceptance Model (TAM) is an information systems theory that models how users come to accept and use a new technology when presented. Because new technologies are constantly introduced to healthcare, the rate of user acceptance depends heavily on perceived purpose and accessibility of the technology Developed by Fred Davis & Richard Bagozzi Disruptive Innovation is an information systems theory that realizes how a groundbreaking innovation can disrupt the current standard and eventually become the new industrial norm. Healthcare technologies can be introduced that become so popular as to change the current model. Developed by Clayton M. Christensen 18
Key Models in Health Informatics (cont d) Diffusion of Innovation is an information systems model that seeks to explain a decision process of innovation adoption with five stages: awareness, interest, evaluation, trial & adoption. Communication influences the go or no-go decisions at different stages of the process, or whether or not the innovation can move on to the next step Developed by Bryee Ruan & Neal C. Gross Go No-Go Sociotechnical Theory Model is an information systems model that recognizes the interaction between social and technical sub-systems. These two factors are then compared and used together to form the design of a technology Developed by Tavistock Institute, London Social Social Technical Technical 19
Informatics in Active and Healthy Ageing Healthy ageing (HA) refers to active engagement with life, optimal cognitive and physical functioning and low risk of disease that enables older people to participate within their limitations and continue to be physically, cognitively, socially and spiritually active As the use of information and communication technologies increases among older adults, ehealth potentially represents an effective means to promote HA Informatics can also be used in ambient intelligent environments (AmIE) to contribute to active and healthy ageing An ambient intelligence environment refers to an electronic environment that is sensitive and responsive to the presence of people. It is often described in the form of scenarios. Technology and aging as an area of research has expanded during the 2000s, engaging researchers from different scientific fields that can only be adequately tackled by a cross-disciplinary research approach 20
Informatics in Active and Healthy Ageing (cont d) Health technologies have the potential to support the growing number of older adults who are aging in place. Tools include visualizations (data visualisations and visualisations of physical representations). Data visualisation involves the creation and study of the visual representation of data, such as statistical graphics, plots, information graphics and other tools Visualisation of physical representations, or data physicalisation, refers to encoding data in physical artefacts, allowing for new ways to represent and communicate data and, as a process, can make the principles of data representation more "graspable" However, the role of visualisations in supporting aging in place remains largely unexplored Informatics tools are being used to support healthy aging, by synthesizing and identifying gaps in the literature evaluating visualisations 21
Unit Review Checklist Defined health informatics (CCL01) Described the two sub-disciplines of health informatics Identified nine different types of related informatics disciplines used in healthcare and stated the various definitions of informatics within the health sector (FFB04) Identified key informatics concepts, models and theories (FFB03) Described the importance of informatics in active and healthy ageing This work is produced by the EU*US ehealth Work Project. This project has received funding from the European Union s Horizon 2020 research and innovation programme under Grant Agreement No. 727552 22
Unit 20 Review Exercise/Activity Match the informatics term on the left with its definition on the right 1. biomedical informatics 2. clinical informatics 3. nursing informatics 4. population health informatics 5. dental informatics 6. public health informatics 7. medical informatics 8. translational bioinformatics 9. clinical research informatics 10. computational health informatics a. the intersection of health informatics and dentistry as a whole b. blends information technology into clinical care processes, usually within a health system c. the evolution of clinical informatics methodology to encompass biological observations d. the intersection of public health informatics and consumer informatics e. the interdisciplinary field that studies the effective uses of biomedical data and knowledge for scientific inquiry f. applies the core foundations, principles, and technologies of health informatics to clinical research g. the systematic application of knowledge about systems that capture, manage, analyze and use information to improve population health h. integrates nursing science with information management and analytical sciences to enhance data and knowledge i. study of the underlying principles of computer science that allow for medically related algorithms and systems to be developed j. the interdisciplinary study of the design, development, adoption and application of IT-based innovations in healthcare services 23
Unit 20 Exam 1. Informatics is the intersection of which of the following? a. Science and process improvement b. Technology and change management c. Processes, information and people d. Tools, research and technology 2. Health informatics comprises which two main subdisciplines? a. clinical informatics and biomedical informatics b. clinical informatics and population health informatics c. medical informatics and nursing informatics d. biomedical informatics and population health informatics 24
Unit Exam (cont d) 3. The scientific field that focuses on medication-related data and knowledge within the continuum of healthcare systems best describes which of the following: a. pharmacy informatics b. dental informatics c. medical informatics d. clinical research informatics 4. What can be used to observe the ways in which humans interact with computers and technology in the healthcare setting? a. Information Architecture b. Graphical User Interfaces c. Population health informatics d. Human-Computer Interaction 25
Unit Exam (cont d) 5. New technologies are constantly introduced to healthcare, but it may be difficult for the users to understand everything describes which of the following key health informatics models: a. Diffusion of Innovation b. Technology Acceptance c. Disruptive Innovation d. Sociotechnical Theory 26